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A practitioner's argument that meeting summarizers fail in the same way regressions fail when you skip the part where you ask what the data can support. The post LLM Summarizers Sk...
A practitioner's warning about generated variables in causal analysis The post LLM Themes Are Not Observations appeared first on Towards Data Science.
Watch a reasoning model think.Continue reading on Medium »
Large language models (LLMs) are AI systems offered by LLM providers that process vast amounts of data to generate humanlike responses to natural language inputs. They are foundati...
Why it tickles your brain to use an LLM, and what that means for the AI industry The post The LLM Gamble appeared first on Towards Data Science.
When we need an LLM to perform a complex task, we often need to feed it a lot of context. Coming up with a design for a new feature requires descriptions of how we want the fea...
From tokenisation to evaluation — how modern language models actually work in practiceContinue reading on Towards AI »
 Anumana in Mimamsa Darsana: The Art of Inference in Indian Philosophy Anumana, or inference, occupies a central role in the Mimamsa Darsana, one of the classical schools...
Originally appeared on dmitrytsepelev.dev.Like it or not, a lot of applications are adding AI–native features: anything related to automated answers, object classification, knowled...
Fine-tuning tests show "bias ... toward confidently representing the claims as true."
The fastest-growing companies in AI & software are either selling AI directly or reselling inference. At worst, they are the first derivative of inference. Inference is the lar...
Explainable AI agents aim to make the decision-making process of large language models (LLMs) transparent, especially when tools are invoked during a conversation. In modern agenti...
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